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Robotic Emulation of Candidate Prosthetic Foot Designs May Enable Efficient, Evidence-Based, and Individualized Prescriptions
Author(s) -
Joshua M. Caputo,
Evan Dvorak,
Kate Shipley,
Mary Ann Miknevich,
Peter G. Adamczyk,
Susan M. Collins
Publication year - 2021
Publication title -
journal of prosthetics and orthotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 33
eISSN - 1534-6331
pISSN - 1040-8800
DOI - 10.1097/jpo.0000000000000409
Subject(s) - emulation , computer science , wearable computer , foot (prosody) , simulation , process (computing) , human–computer interaction , embedded system , linguistics , philosophy , economics , economic growth , operating system
The design and selection of lower-limb prosthetic devices is currently hampered by a shortage of evidence to drive the choice of prosthetic foot parameters. We propose a new approach wherein prostheses could be designed, specified, and provided based on individualized measurements of the benefits provided by candidate feet. In this manuscript, we present a pilot test of this evidence-based and personalized process.

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